Sentence examples for based hypothesis generation from inspiring English sources

Herein we will test this hypothesis through in silico experimentation and model based hypothesis generation.

In their work entitled "Supervised Learning Based Hypothesis Generation from Biomedical Literature," S. Sang et al. proposed a supervised learning-based approach to generate hypotheses from biomedical literature.

Through this process of model based hypotheses generation and testing, the degradation rates of Hes1 and Mash1 mRNA and the dissociation constant of Mash1-E47 heterodimers are identified as the most potent mediators of the transition towards neural differentiation.

Our model based hypotheses generation approach presented herein, has initially highlighted the need for a conformational change within the Delta/Notch pathway in order to reach a resting state resembling differentiated cells and more importantly through model analysis has identified the parameters that could mediate such an effect.

During the online phase, our method converts sliding windows to scale-invariant RGB-D patches and employs a hash voting-based hypothesis generation scheme to compute a rough 6D pose hypothesis.

The gene list distilling steps and its subsequent compacting are crucial to CDM-based hypothesis generation.

This approach is often called Swanson's ABC model approach after his seminal work on literature-based hypothesis generation (Swanson, 1990).

Manual curation of metabolic models often continues over several iterations of simulation-based hypothesis generation, experimental validation, and model refinement to improve quality and predictive accuracy.

This also implied that instructional pedagogy in science classroom should be more emphasized on the way of teaching that (i) how to reason casually based on hypothesis generation (ii) how to design well fair science experiment, and (iii) how to determine correlation and conversation between target variables, in order to enhance the development of student's scientific reasoning ability.

This computational approach potentially revealed the complex interplay of functional interactions between proteins involved in S. meliloti-Medicago symbiosis providing a way to expand the current understanding of symbiosis by enabling hypothesis generation based on our predicted network.

The main issue of the hypothesis generation approach based on cooccurrence is that the extracted relationships lack logical explanations.